papers
Publications (7)
stat.ML2019
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang +2
The paper proposes a gating mechanism and a bounded L1 regularizer to enable group-wise channel pruning in convolutional neural networks, achieving significant parameter reductions…
#model pruning#group sparsity#regularization#neural network compression
cs.AI2018
An information-theoretic on-line update principle for perception-action coupling
Zhen Peng, Tim Genewein, Felix Leibfried +1
stat.ML2017
On Detecting Adversarial Perturbations
Jan Hendrik Metzen, Tim Genewein, Volker Fischer +1
stat.ML2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein +2
cs.LG2019
Meta-learning of Sequential Strategies
Pedro A. Ortega, Jane X. Wang, Mark Rowland +21
cs.AI2013
Abstraction in decision-makers with limited information processing capabilities
Tim Genewein, Daniel A. Braun
cs.LG2019
Sinkhorn AutoEncoders
Giorgio Patrini, Rianne van den Berg, Patrick Forré +5